ML RecSys Engineer: Scale Personalization & Impact

Meta; Honolulu (HI); On-site; USD 184,000 - 257,000; Full time

Job summary

Meta is seeking talented Machine Learning engineers to join our teams in building cutting-edge products, with the mission of connecting billions of people around the world. As a member of our team, you will have the opportunity to work on complex technical problems, build new features, and improve existing products across various platforms, including mobile devices and web applications.

Our teams are constantly pushing the boundaries of user experience, and we're looking for engineers who can

Qualifications

• 2+ years of experience in machine learning, recommendation systems, AI, or related field.
• Experience with scripting languages such as Python, JavaScript or Hack.
• Experience with developing machine learning models at scale from inception to business impact.
• Knowledge developing and debugging in C/C++ and Java, or experience with scripting languages such as Python, Perl, PHP, and/or shell scripts.
• Track record of setting technical direction for a team, driving consensus and successful cross-functional partnerships.
• Proven experience designing, building, or deploying recommendation systems (e.g., collaborative filtering, content-based, hybrid approaches, personalization at scale).
• Experience building and shipping high quality work and achieving high reliability.
• Experience improving quality through thoughtful code reviews, appropriate testing, proper rollout, monitoring, and proactive changes.

Responsibilities

• Collaborate with cross-functional teams (product, design, operations, infrastructure) to build innovative application experiences.
• Implement custom user interfaces using latest programming techniques and technologies.
• Develop reusable software components for interfacing with back-end platforms.
• Analyze and optimize code for quality, efficiency, and performance.
• Lead complex technical or product efforts and provide technical guidance to peers.
• Architect efficient and scalable systems that drive complex applications.
• Identify and resolve performance and scalability issues.
• Work on a variety of coding languages and technologies.
• Establish ownership of components, features, or systems with expert end-to-end understanding.

Skills

Machine Learning

Recommendation Systems

Python

Java

C/C++

JavaScript

Tools

PyTorch

TensorFlow

LLMs

Job description

Meta is seeking talented Machine Learning engineers to join our teams in building cutting-edge products, with the mission of connecting billions of people around the world. As a member of our team, you will have the opportunity to work on complex technical problems, build new features, and improve existing products across various platforms, including mobile devices and web applications.

Our teams are constantly pushing the boundaries of user experience, and we're looking for engineers who can